{"id":32899,"date":"2026-07-10T09:15:00","date_gmt":"2026-07-10T08:15:00","guid":{"rendered":"https:\/\/www.engineernewsnetwork.com\/blog\/?p=32899"},"modified":"2026-07-08T10:10:00","modified_gmt":"2026-07-08T09:10:00","slug":"how-continuous-condition-monitoring-is-transforming-data-centre-reliability","status":"publish","type":"post","link":"https:\/\/www.engineernewsnetwork.com\/blog\/how-continuous-condition-monitoring-is-transforming-data-centre-reliability\/","title":{"rendered":"How continuous condition monitoring is transforming data centre reliability"},"content":{"rendered":"\n

To provide real-time, structural health insights for critical infrastructure and industrial operations, Hottinger Br\u00fcel & Kj\u00e6r (HBK) has launched an advanced AI-enabled smart monitoring platform … the HBK Monitor360<\/a><\/strong>.<\/p>\n\n\n\n

This physics-informed solution transforms high-fidelity sensor data into actionable intelligence, enabling owners and operators of data centres, plus other AI infrastructure, including semiconductor manufacturing facilities, to maximise uptime, optimise predictive maintenance strategies, and enhance safety. It also supports critical infrastructure, such as power generation facilities, bridges and rail networks.

As AI infrastructure scales and operational demands intensify, traditional periodic inspections are no longer sufficient to ensure operational continuity and efficiency. For data centres and semiconductor manufacturing environments in particular, unplanned disruption can have significant financial and operational consequences.

HBK Monitor360 addresses this challenge by moving beyond mere data visualisation to offer\u00a0continuous condition monitoring and predictive maintenance, leveraging advanced sensor technology, edge computing, and AI-supported analytics. The platform provides real-time dashboards with historical context, allowing live signals to be compared against long-term operational baselines for early anomaly detection. This proactive approach supports condition-based and predictive maintenance, which reduces costly downtime and improves operational efficiency across AI infrastructure \u2013 and assets such as bridges and rail infrastructure.

A key differentiator for HBK Monitor360 is its\u00a0physics-informed AI approach, which draws on HBK\u2019s long-standing experience in engineering and sensor technology. This methodology ensures that valuable insights are grounded in robust engineering principles rather than solely relying on black-box learning. The platform integrates multi-sensor data, including strain, vibration, temperature and displacement, with AI-driven analytics to learn normal machine behaviour and identify subtle anomalies.

“The real value in Structural Health Monitoring doesn’t just come from visualising huge volumes of data,” said\u00a0Guga Gugaratshan, Director, Software\/Digital Growth at HBK. “It comes from traceable, physics-informed workflows that convert imperfect field data into reliable, reviewable, and actionable engineering evidence, ultimately empowering asset managers to make data-driven decisions that extend asset life and reduce operational risk.”

Designed for\u00a0seamless integration into existing monitoring ecosystems, HBK Monitor360 complements current operational technology (OT) and asset management systems, avoiding vendor lock-in and supporting scalable digital transformation at the user’s pace.<\/p>\n","protected":false},"excerpt":{"rendered":"

To provide real-time, structural health insights for critical infrastructure and industrial operations, Hottinger Br\u00fcel & Kj\u00e6r (HBK) has launched an advanced AI-enabled smart monitoring platform … the HBK Monitor360. 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